Visual tracking

ADTrack: Target-Aware Dual Filter Learning for Real-Time Anti-Dark UAV Tracking

Prior correlation filter (CF)-based tracking methods for unmanned aerial vehicles (UAVs) have virtually focused on tracking in the daytime. However, when the night falls, the trackers will encounter more harsh scenes, which can easily lead to …

Mutation Sensitive Correlation Filter for Real-Time UAV Tracking with Adaptive Hybrid Label

Unmanned aerial vehicle (UAV) based visual tracking has been confronted with numerous challenges, e.g., object motion and occlusion. These challenges generally bring about target appearance mutations and cause tracking failure. However, most …

Online Recommendation-based Convolutional Features for Scale-Aware Visual Tracking

In this paper, we develop an online learning-based visual tracking framework that can optimize the target model and estimate the scale variation for object tracking. We propose a recommender-based tracker, which is capable of selecting the …

Siamese Anchor Proposal Network for High-Speed Aerial Tracking

In the domain of visual tracking, most deep learning-based trackers highlight the accuracy but casting aside efficiency, thereby impeding their real-world deployment on mobile platforms like the unmanned aerial vehicle (UAV). In this work, a novel …

Augmented Memory for Correlation Filters in Real-Time UAV Tracking

The outstanding computational efficiency of discriminative correlation filter (DCF) fades away with various complicated improvements. Previous appearances are also gradually forgotten due to the exponential decay of historical views in traditional …

Automatic Failure Recovery and Re-Initialization for Online UAV Tracking with Joint Scale and Aspect Ratio Optimization

Current unmanned aerial vehicle (UAV) visual tracking algorithms are primarily limited with respect to":" (i) the kind of size variation they can deal with, (ii) the implementation speed which hardly meet the real-time requirement. In this work, a …

DR^2Track: Towards Real-Time Visual Tracking for UAV via Distractor Repressed Dynamic Regression

Visual tracking has yielded promising applications with unmanned aerial vehicle (UAV). In literature, the advanced discriminative correlation filter (DCF) type trackers generally distinguish the foreground from the background with a learned regressor …

Learning Consistency Pursued Correlation Filters for Real-Time UAV Tracking

Correlation filter (CF) has proven its superb efficiency in visual tracking for unmanned aerial vehicle (UAV) applications. To enhance the temporal smoothness of the filter, many CF-based approaches introduce temporal regularization terms to penalize …

Towards Robust Visual Tracking for Unmanned Aerial Vehicle with Tri-Attentional Correlation Filters

Object tracking has been broadly applied in unmanned aerial vehicle (UAV) tasks in recent years. However, existing algorithms still face difficulties such as partial occlusion, clutter background, and other challenging visual factors. Inspired by the …

Object Saliency-Aware Dual Regularized Correlation Filter for Real-Time Aerial Tracking

Spatial regularization has proven itself to be an effective method in terms of alleviating the boundary effect and boosting the performance of a discriminative correlation filter (DCF) in aerial visual object tracking. However, existing spatial …